Presentation 2014-05-22
A Study of an Ultrasound Contrast Agent Detection Method with Motion Estimation
Kazumasa NORO, Koichi ITO, Yukari YAMAGISAWA, Maya SAKAMOTO, Shiro MORI, Kiyoto SHIGA, Tetsuya KODAMA, Takafumi AOKI,
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Abstract(in English) This paper presents a high-accuracy microbubble detection method for diagnostic ultrasound imaging systems. The proposed method detects ultrasound contrast agents using spatio-temporal analysis of the pixel intensity variation over several frames, where we take into account the motion of the target issue. Through a set of experiments using mice and clinical data, we demonstrate that the proposed method exhibits efficient performance compared with conventional methods.
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Keyword(in English) ultrasound / ultrasound contrast agent detection / motion estimation / vessel density
Paper # SIP2014-4,IE2014-4,PRMU2014-4,MI2014-4
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Conference Information
Committee PRMU
Conference Date 2014/5/15(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of an Ultrasound Contrast Agent Detection Method with Motion Estimation
Sub Title (in English)
Keyword(1) ultrasound
Keyword(2) ultrasound contrast agent detection
Keyword(3) motion estimation
Keyword(4) vessel density
1st Author's Name Kazumasa NORO
1st Author's Affiliation Graduate School of Information Science, Tohoku University()
2nd Author's Name Koichi ITO
2nd Author's Affiliation Graduate School of Information Science, Tohoku University
3rd Author's Name Yukari YAMAGISAWA
3rd Author's Affiliation Graduate School of Biomedical Engineering, Tohoku University
4th Author's Name Maya SAKAMOTO
4th Author's Affiliation Graduate School of Dentistry, Tohoku University
5th Author's Name Shiro MORI
5th Author's Affiliation Tohoku University Hospital
6th Author's Name Kiyoto SHIGA
6th Author's Affiliation School of Medicine, Iwate Medical University
7th Author's Name Tetsuya KODAMA
7th Author's Affiliation Graduate School of Biomedical Engineering, Tohoku University
8th Author's Name Takafumi AOKI
8th Author's Affiliation Graduate School of Information Science, Tohoku University
Date 2014-05-22
Paper # SIP2014-4,IE2014-4,PRMU2014-4,MI2014-4
Volume (vol) vol.114
Number (no) 41
Page pp.pp.-
#Pages 6
Date of Issue